• DocumentCode
    2468675
  • Title

    Model predictive direct current control

  • Author

    Martinez, Juan C Ramirez ; Kennel, Ralph M. ; Geyer, Tobias

  • Author_Institution
    Electr. Machines & Drives Lab., Wuppertal Univ., Wuppertal, Germany
  • fYear
    2010
  • fDate
    14-17 March 2010
  • Firstpage
    1808
  • Lastpage
    1813
  • Abstract
    This paper presents a model predictive current controller and its application to ac electrical drives. In a stationary reference frame, the proposed control scheme keeps the α and β currents within given hysteresis bounds while minimizing the switching frequency of the inverter. Based on a internal model of the drive, the controller predicts the drive´s future behavior for each switching sequence, extrapolates the output trajectories and selects the inverter switch position (voltage vector) that minimizes the switching frequency and keeps the predicted current trajectories within the hysteresis bounds. The scheme is applicable to a large class of (three-phase) ac electrical machines driven by inverters and it is also effective under all operating conditions, including transients and zero stator frequency operation. Specifically, the very fast transient response time of the classic hysteresis control scheme is inherited.
  • Keywords
    AC machines; drives; electric current control; predictive control; stators; transient response; ac electrical drives; hysteresis control scheme; inverter switch position; model predictive direct current control; stationary reference frame; switching frequency; switching sequence; transient response time; voltage vector; zero stator frequency operation; Current control; Electric current control; Hysteresis; Inverters; Predictive models; Stators; Switches; Switching frequency; Trajectory; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2010 IEEE International Conference on
  • Conference_Location
    Vi a del Mar
  • Print_ISBN
    978-1-4244-5695-6
  • Electronic_ISBN
    978-1-4244-5696-3
  • Type

    conf

  • DOI
    10.1109/ICIT.2010.5472514
  • Filename
    5472514